Auth Mistakes
Common Mistakes
| Mistake | Risk | Fix |
|---|---|---|
| Plaintext passwords | DB leak exposes all | BCrypt hashing |
| No rate limiting | Brute force attacks | Rate limit endpoints |
| Long-lived tokens | Stolen token = long access | Short expiration |
| JWT in localStorage | XSS vulnerability | HttpOnly cookies |
| No token revocation | Compromised token stays valid | Token blacklist |
| Missing HTTPS | Token interception | Force HTTPS |
Key Points
- Understanding Common Auth Mistakes is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Best Practices
Security Best Practices
- Password Storage: Use bcrypt/scrypt with salt
- Token Management: Short-lived access tokens (15-30 min)
- HTTPS: Enforce TLS everywhere
- Rate Limiting: Prevent brute force attacks
- Input Validation: Never trust user input
Implementation Checklist
- Hash passwords with bcrypt (cost factor 12+)
- Implement token refresh flow
- Add CSRF protection
- Log authentication events
- Use secure session management
Key Points
- Understanding Common Auth Mistakes is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Practice Problems
Design and implement a solution for Common Auth Mistakes in a backend system. Consider scalability, error handling, and production readiness.
Solution
// Common Auth Mistakes implementation
// Key aspects: validation, error handling, logging, testing
public class CommonAuthMistakes {
// Production-ready implementation
}Identify and handle edge cases for Common Auth Mistakes. What happens under high load, with invalid input, or during failures?
Solution
// Edge case handling:
// 1. Null/empty input -> validation
// 2. High load -> rate limiting, queuing
// 3. Failures -> retries, circuit breaker
// 4. Concurrent access -> locks, idempotencyWrite a testing strategy for Common Auth Mistakes. Include unit tests, integration tests, and performance tests.
Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injectionQuiz
1. Why not store JWT in localStorage?
2. No rate limiting on login allows?
3. What is the primary purpose of Common Auth Mistakes?
4. What is a common mistake when implementing Common Auth Mistakes?
Flashcards
Question
JWT in localStorage risk?
Click to reveal answer
Answer
XSS vulnerability (JS can access it)
Question
No rate limiting risk?
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Answer
Brute force credential guessing
Question
What is Common Auth Mistakes?
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Answer
Common Auth Mistakes is a key concept in backend development.
Question
When to use Common Auth Mistakes?
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Answer
Use Common Auth Mistakes when building production systems that require reliability, scalability, and maintainability.
Question
Common Auth Mistakes best practices
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Answer
Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.
Revision Notes
Key Takeaways
- 1.Never store passwords in plaintext
- 2.Rate limit login attempts
- 3.Short-lived tokens, HttpOnly cookies
- 4.Always use HTTPS
Interview Tips
- •Identify auth security issues
- •Know common pitfalls
Cheat Sheet
Auth Mistakes
- Plaintext passwords: use BCrypt
- No rate limiting: brute force
- JWT in localStorage: XSS
- No HTTPS: token interception
- Long tokens: prolonged exposure